Senior Software Engineer, Machine Learning

GeoComply; Canada; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading geolocation and cybersecurity firm in Canada seeks a Full Stack Machine Learning Engineer to design and implement production-grade ML systems. This role involves building high-scale ML pipelines using big data technologies and optimizing models for low latency. The ideal candidate must possess strong software engineering and data science skills, with experience in Databricks or Vertex AI. The company offers a hybrid working model and various benefits, including professional development opportunities and competitive salary packages.

Benefits

Hybrid working mode

Professional development budget

20 annual leave days

Premium health insurance

Competitive salary package

Attractive bonuses

Free parking

Annual company trip

Quarterly team-building activities

Qualifications

• Hands-on experience building ML pipelines and running models in production.
• Strong fundamentals in software engineering and statistical analysis.
• Ability to explain complex concepts to non-technical stakeholders.

Responsibilities

• Build and maintain high-scale ML pipelines using big data technologies.
• Leverage modern ML platforms to orchestrate workflows.
• Act as a technical lead for projects and mentor data scientists.

Skills

Software Engineering fundamentals

Data Science expertise

Experience with Databricks

Experience with Vertex AI

English Communication Skills

Tools

Spark

BigQuery

Delta Lake

Job description

About GeoComply

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti‑fraud innovation, developing and delivering cutting‑edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.

Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance‑grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.

At the heart of it all is the people, united by a deep commitment to problem‑solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.

The Role

We are seeking a Full Stack Machine Learning Engineer who sits at the intersection of Data Science and Software Engineering. You will not just build models but also design the systems that run them. This is a hands‑on role for a builder who cares about code quality, system scalability, and the business domain. You will lead the design and implementation of production‑grade ML systems, ensuring our models are robust, scalable, and impactful.

Key Responsibilities

• Production-Grade Systems: Build and maintain high‑scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake). You will write production‑ready code that is reliable, testable, and maintainable.
• Platform & Infrastructure: Leverage modern ML platforms like Vertex AI or Databricks to orchestrate workflows. Optimize models for both batch/offline training and real‑time/streaming inference with a focus on low latency.
• Domain Deep Dive: Go beyond the algorithms. Deeply understand the specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network‑level intelligence.
• Engineering Excellence: Champion best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation. You will ensure our ML systems are built to software engineering standards, not just research scripts.
• Technical Leadership: Act as a technical lead for projects, defining milestones and ensuring on‑time delivery. Mentor Data Scientists on engineering best practices and collaborate with other engineers to integrate models into the wider platform.

Who You Are

• You identify as a “Full Stack” practitioner. You have strong fundamentals in Software Engineering (system design, algorithms, clean code) AND Data Science (statistical analysis, model selection, evaluation).
• You have a proven track record of running ML models in production at scale. You don't just hand off a model file; you can write the code to wrap, serve, and scale it.
• You possess a growth mindset and actively embrace AI in your own workflow. You leverage AI‑assisted tools (e.g., Claude Code, LLMs) to accelerate development, refactor code, and solve problems efficiently. You practice what you preach.
• You have hands‑on experience with Databricks or Vertex AI, and are comfortable building pipelines in these environments.
• You are self‑motivated and can work independently to drive complex technical initiatives from concept to completion.
• You have excellent English communication skills, capable of explaining complex technical concepts to non‑technical stakeholders and collaborating effectively across teams.
• You have a strong interest in deep diving into domain knowledge to uncover hidden trends and anomalies.

Bonus Points

• Experience specifically in fraud detection or anomaly detection.

Benefits

• ☘ Hybrid working mode & Modern office at a prime location in District 1
• ☘ Professional development budget to support your growth
• ☘ 20 annual leave days, 5 sick leave days
• ☘ Premium health insurance (Bao Viet or Liberty)
• ☘ Social, unemployment, and health insurance contributions based on full salary
• ☘ Competitive salary package, 100% salary during the probation period
• ☘ Attractive bonuses (13th month, business performance, equity plans)
• ☘ Annual salary performance review
• ☘ Free parking
• ☘ Annual company trip & Year‑end party
• ☘ Quarterly team‑building activities
• ☘ In‑office snacks and drinks (snacks, coffee, juice, milk, etc.)
• ☘ International working environment

Apply Now!

Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you!

Commitment to Diversity and Equity.

If you don’t tick every box in this job description, please don’t rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply.

We also have a search‑firm policy, but for hiring we do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team.

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